摘要
针对传统的空中平台光电载荷系统误差标校方法在实际大误差的测量条件下无法对系统误差进行准确标校的问题,根据实际应用的特点提出系统误差标校方法,将误差量进行分组,制定并利用了具有较强抗干扰能力的模糊评价法则与偏差统计法对分组后的误差量分别进行识别,对系统误差进行了标校.实际飞行试验证明提出的系统误差标校方法适合工程实践中大误差条件下的数据处理.
Traditional method of systematic error calibration of aerial platform and photoelectric payload cannot precisely identify and compensate the errors under the condition of the influence of serious measurement error.In the algorithm which was put forward based on the character of practical application,the components of systematic errors were grouped to utilize highly noise-proof fuzzy evaluation principle and deviation statistics method which suits to the data processing under the influence of serious measurement errors in engineering applications and rightly calibrates the systematic errors.The actual flight test proves the validity of this method.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2012年第3期68-71,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
中国博士后科学基金资助项目(20090641460)
关键词
光电载荷
系统误差标校
误差分组
模糊评价法则
偏差统计法
photoelectric payload
systematic error calibration
errors grouping
fuzzy evaluation principle
deviation statistics method
